Engenharia de dados para modelagem preditiva com o BigQuery ML: laboratório com desafio avaliações

Alison W. · Revisado há 3 days

Chetna G. · Revisado há 3 days

Pramodini K. · Revisado há 3 days

Henry H. · Revisado há 3 days

Henry H. · Revisado há 3 days

I increased my MSE < 100 but step 2 is not passing!

jer g. · Revisado há 3 days

After many attempts, finished Task1 and Task2. Taske-Time out. Atlast, finished all tasks

Brindha R. · Revisado há 4 days

hard

BAPTISTE V. · Revisado há 4 days

After many attempts, finished Task1 and Task2. Taske-Time out.

Brindha R. · Revisado há 4 days

Tushita Y. · Revisado há 4 days

Cecilia P. · Revisado há 4 days

Thiago V. · Revisado há 4 days

Harry S. · Revisado há 4 days

Ashwed M. · Revisado há 4 days

SID EL MRABET M. · Revisado há 4 days

vartika c. · Revisado há 4 days

Soufiane B. · Revisado há 4 days

James C. · Revisado há 4 days

vartika c. · Revisado há 4 days

Cezar M. · Revisado há 4 days

Julie S. · Revisado há 4 days

IRENE D. · Revisado há 4 days

1. dataprep requires too many allows/accepts/continues. 2. dataprep can't cast datetime to timestamp 3. dataprep always recognize a column that is calculated from two float columns to a string type.

Yi S. · Revisado há 4 days

Vivek K. · Revisado há 4 days

I was able to complete this lab using BQ. The trickiest part of it is when the RMSE doesn't get accepted, under task 2. I've noted on our class forums that this appears to be the case when pickup_datetime is a datetime column rather than timestamp. However, all of my "*_datetime" columns were timestamp type in this lab, and I was successful. Task 3 should have a note: "allow the ML.PREDICT method to name the forecasted variable". I failed when I renamed the forecasted variable.

Jeremy L. · Revisado há 4 days